How LinkedIn Is Tackling Hiring Fragmentation With AI And Unified Data Layers

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As AI rapidly transforms enterprise hiring, recruiters are moving beyond manual screening and fragmented workflows toward more integrated, skills-driven, and AI-assisted recruitment systems. At the same time, enterprises are grappling with challenges around data unification, responsible AI, privacy, and seamless integrations across Applicant Tracking Systems (ATS) and hiring platforms.

In this interaction with CiOL, Nithya Rajagopalan, Director of Software Engineering and LTS Lead at LinkedIn discusses how agentic AI is reshaping recruitment workflows, why unified hiring data layers matter, and how recruiters are increasingly shifting from operational tasks toward more judgment-driven decision-making in AI-powered hiring environments.

Interview excerpts:

Recruiters are still spending a lot of time jumping between tools and doing manual work during hiring. If AI is transforming recruitment, why hasn’t that completely changed yet?

AI is definitely transforming hiring, but recruiters still deal with fragmented systems every day, whether it’s LinkedIn, ATS platforms, or other hiring tools. The...

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